Evidence map›Paper›PMID 37593374›Full record

ArticleFrontiers in aging neuroscience2023

Longitudinal study of epigenetic aging and its relationship with brain aging and cognitive skills in young adulthood.

Klara Mareckova, Anna Pacinkova, Radek Marecek, Ludmila Sebejova, Lydie Izakovicova Holla, Jana Klanova, Milan Brazdil, Yuliya S Nikolova

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 19 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Klara MareckovaBrain and Mind Research, Central European Institute of Technology (CEITEC), Masaryk University (MU), Brno, Czechia.
Anna PacinkovaBrain and Mind Research, Central European Institute of Technology (CEITEC), Masaryk University (MU), Brno, Czechia.
Radek MarecekBrain and Mind Research, Central European Institute of Technology (CEITEC), Masaryk University (MU), Brno, Czechia.
Ludmila SebejovaRECETOX, Faculty of Science, Masaryk University, Brno, Czechia.
Lydie Izakovicova HollaDepartment of Stomatology, St. Anne's Univ. Hospital and Faculty of Medicine, Masaryk University, Brno, Czechia.
Jana KlanovaRECETOX, Faculty of Science, Masaryk University, Brno, Czechia.
Milan BrazdilBrain and Mind Research, Central European Institute of Technology (CEITEC), Masaryk University (MU), Brno, Czechia.
Yuliya S NikolovaCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada.
Masaryk University · CZCentral European Institute of Technology – Masaryk University · CZCentre for Addiction and Mental Health · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The proportion of older adults within society is sharply increasing and a better understanding of how we age starts to be critical. However, given the paucity of longitudinal studies with both neuroimaging and epigenetic data, it remains largely unknown whether the speed of the epigenetic clock changes over the life course and whether any such changes are proportional to changes in brain aging and cognitive skills. To fill these knowledge gaps, we conducted a longitudinal study of a prenatal birth cohort, studied epigenetic aging across adolescence and young adulthood, and evaluated its relationship with brain aging and cognitive outcomes. Methods: DNA methylation was assessed using the Illumina EPIC Platform in adolescence, early and late 20 s, DNA methylation age was estimated using Horvath's epigenetic clock, and epigenetic age gap (EpiAGE) was calculated as DNA methylation age residualized for batch, chronological age and the proportion of epithelial cells. Structural magnetic resonance imaging (MRI) was acquired in both the early 20 s and late 20 s using the same 3T Prisma MRI scanner and brain age was calculated using the Neuroanatomical Age Prediction using R (NAPR) platform. Cognitive skills were assessed using the Wechsler Adult Intelligence Scale (WAIS) in the late 20 s. Results: The EpiAGE in adolescence, the early 20 s, and the late 20 s were positively correlated ( Discussion: We conclude that the EpiAGE is a relatively stable characteristic of an individual across adolescence and early adulthood, but that it shows only a small relationship with accelerated brain aging and a women-specific relationship with worse performance IQ.

Indexed as

brain ageepigenetic ageIQlongitudinalmagnetic resonance imaging (MRI)

Identifiers

PMID37593374
PMCPMC10427722
OpenAlexW4385445562

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.